DBTB INT Aaron Kalb r
summary
Argues that observing past human interactions with data lets software guide better future behavior and reduce spurious analysis, and demonstrates a working prototype: a behavioral nudging system built into the Alation data catalog that ingests usage logs, annotates datasets, and issues contextual prompts. The system is implemented with Python scripts and catalog APIs, runs in production pilots, and measurably increases dataset discovery and adoption while surfacing collaboration signals that improve data quality.
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